Results 211 to 220 of about 168,521,757 (307)

Leveraging scenario differences for cross-task generalization in water plant transfer machine learning models. [PDF]

open access: yesEnviron Sci Ecotechnol
Wang YQ   +11 more
europepmc   +1 more source

Implantable Ionic Memristors Based on Natural Polymer Heterojunctions

open access: yesAdvanced Functional Materials, EarlyView.
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee   +6 more
wiley   +1 more source

Transfer deep learning and explainable AI framework for brain tumor and Alzheimer's detection across multiple datasets. [PDF]

open access: yesFront Med (Lausanne)
Alsubai S   +6 more
europepmc   +1 more source

Monolithic Oxidation Enables Ultrathin Vertically Graded Tantalum Oxide for Low‐Voltage, Low‐Variability Memristive Switching

open access: yesAdvanced Functional Materials, EarlyView.
Monolithic UV‐ozone oxidation of Ta forms an ultrathin Ta2O5/TaOx bilayer enabling resistive switching with a vertical defect gradient. A stoichiometric surface layer over an oxygen‐deficient sublayer promotes localized filament nucleation near the top interface, enabling low‐voltage operation, and reduced cycle‐to‐cycle variability.
Seunghoon Yang   +11 more
wiley   +1 more source

Multimode Oxide‐Based Optoelectronic Memtransistor for In‐Sensor Vision Processing

open access: yesAdvanced Functional Materials, EarlyView.
A multimode optoelectronic memtransistor (OEMT) is demonstrated for vision explainable artificial intelligence (VXAI) hardware. By integrating optical sensing, electrical masking, and non‐volatile memory, the device enables key operations required for generating saliency information.
Min Gu Lee   +10 more
wiley   +1 more source

Transfer Learning: Analysis of a Matlab code

open access: yes
openIl transfer learning è una tecnica fondamentale del machine learning, la quale permette il riutilizzo di un modello pre-addestrato per riadattarlo e personalizzarlo a nuovi scopi.
CIMAROSTI, LORENZO
core  

Neural correlates of transfer of learning in motor coordination tasks: role of inhibitory and excitatory neurometabolites. [PDF]

open access: yesSci Rep
Rasooli A   +9 more
europepmc   +1 more source

Bio‐Derived Polyelectrolyte Additive–Induced Interfacial Ion‐Diffusion Barriers for Nonvolatile Organic Artificial Synapses

open access: yesAdvanced Functional Materials, EarlyView.
Sodium alginate regulates interfacial ion transport and retention in electrolyte‐gated synaptic transistors. The carboxylate‐rich polymeric network forms a dynamic interfacial ion‐diffusion barrier that facilitates ion injection during programming while suppressing ion back‐diffusion, thereby stabilizing the electrochemically doped channel state.
Chaeyeon Han   +6 more
wiley   +1 more source

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